$-method |
Gamma prior class for the LambdaStar parameter. |
$-method |
Normal prior class for Beta and Delta parameters. |
$-method |
Class for the result of the MCMC procedure. |
$-method |
Class for the initial values for the MCMC for the bayesPO package |
$-method |
Class that defines a model for the bayesPO package. |
$-method |
Joint prior class for the bayesPO package parameters |
$<--method |
Gamma prior class for the LambdaStar parameter. |
$<--method |
Normal prior class for Beta and Delta parameters. |
$<--method |
Class that defines a model for the bayesPO package. |
$<--method |
Joint prior class for the bayesPO package parameters |
*-method |
Class for the initial values for the MCMC for the bayesPO package |
+-method |
Class for the result of the MCMC procedure. |
+-method |
Class for the initial values for the MCMC for the bayesPO package |
as.array-method |
Class for the result of the MCMC procedure. |
as.array.bayesPO_fit |
Class for the result of the MCMC procedure. |
as.data.frame-method |
Class for the result of the MCMC procedure. |
as.data.frame.bayesPO_fit |
Class for the result of the MCMC procedure. |
as.matrix-method |
Class for the result of the MCMC procedure. |
as.matrix.bayesPO_fit |
Class for the result of the MCMC procedure. |
barplot.covariates_importance |
Class for covariates importance matrices |
bayesPO_fit-class |
Class for the result of the MCMC procedure. |
bayesPO_initial-class |
Class for the initial values for the MCMC for the bayesPO package |
bayesPO_model |
Build a model to be used in the 'bayesPO' fitting function |
bayesPO_model-class |
Class that defines a model for the bayesPO package. |
bayesPO_prior-class |
Joint prior class for the bayesPO package parameters |
BetaDeltaPrior-class |
Generic class for the beta and delta parameters. |
boxplot.covariates_importance |
Class for covariates importance matrices |
c-method |
Class for the result of the MCMC procedure. |
covariates_importance-class |
Class for covariates importance matrices |
fit_bayesPO |
Fit presence-only data using a Bayesian Poisson Process model |
fit_bayesPO-method |
Fit presence-only data using a Bayesian Poisson Process model |
GammaPrior |
Create a Gamma prior object for model specification. |
GammaPrior-class |
Gamma prior class for the LambdaStar parameter. |
initial |
Initial values constructor for bayesPO modeling |
LambdaStarPrior-class |
Generic class for the LambdaStar parameters. |
names-method |
Gamma prior class for the LambdaStar parameter. |
names-method |
Normal prior class for Beta and Delta parameters. |
names-method |
Class for the result of the MCMC procedure. |
names-method |
Class for the initial values for the MCMC for the bayesPO package |
names-method |
Class that defines a model for the bayesPO package. |
names-method |
Joint prior class for the bayesPO package parameters |
names.bayesPO_fit |
Class for the result of the MCMC procedure. |
NormalPrior |
Create a Normal prior object for model specification. |
NormalPrior-class |
Normal prior class for Beta and Delta parameters. |
plot.covariates_importance |
Class for covariates importance matrices |
print-method |
Generic class for the beta and delta parameters. |
print-method |
Gamma prior class for the LambdaStar parameter. |
print-method |
Normal prior class for Beta and Delta parameters. |
print-method |
Class for the result of the MCMC procedure. |
print-method |
Class for the initial values for the MCMC for the bayesPO package |
print-method |
Class that defines a model for the bayesPO package. |
print-method |
Joint prior class for the bayesPO package parameters |
print.bayesPO_fit |
Class for the result of the MCMC procedure. |
print.bayesPO_initial |
Class for the initial values for the MCMC for the bayesPO package |
print.bayesPO_model |
Class that defines a model for the bayesPO package. |
print.bayesPO_prior |
Joint prior class for the bayesPO package parameters |
print.BetaDeltaPrior |
Generic class for the beta and delta parameters. |
print.covariates_importance |
Class for covariates importance matrices |
print.GammaPrior |
Gamma prior class for the LambdaStar parameter. |
print.NormalPrior |
Normal prior class for Beta and Delta parameters. |
prior |
Build a joint prior for bayesPO model parameters |
show-method |
Generic class for the beta and delta parameters. |
show-method |
Gamma prior class for the LambdaStar parameter. |
show-method |
Generic class for the LambdaStar parameters. |
show-method |
Normal prior class for Beta and Delta parameters. |
show-method |
Class for the result of the MCMC procedure. |
show-method |
Class for the initial values for the MCMC for the bayesPO package |
show-method |
Class that defines a model for the bayesPO package. |
show-method |
Joint prior class for the bayesPO package parameters |
summary-method |
Class for the result of the MCMC procedure. |
summary.bayesPO_fit |
Class for the result of the MCMC procedure. |
[[-method |
Class for the result of the MCMC procedure. |